CodePath.org

CodePath is an AI-native organization building pathways into tech for the next generation of engineers, CTOs, and founders. We deliver industry-vetted technical courses and programs to learners across the country. We operate with the pace and ownership culture of a technical startup. Our team runs on Claude, partners with Anthropic, and uses AI as a core part of how we work. The problems here are technically hard, the impact is visible, and the people are sharp. With 40,000+ learners and alumni from 1,100+ colleges now working at 4,050 companies, including Amazon, Google, and Meta, we are reshaping who leads tech and how the industry gets built. About the Role Location: In-Person, various locations, United States Role-Type: Adjunct Instructor, Seasonal Full-Time, W2 Employee Duration: July 20, 2026 - December 23, 2026 (onboarding and training begin in July, precise course dates vary by institutional calendars) Reports To: Senior Manager, Program Implementation Compensation: $72,000 to $88,000 total pay for the full assignment (if needed, relocation assistance available up to $5,000, covering flights and accommodation) Interview timeline: Offers extended on a rolling basis, with a target final date of June 30, 2026 CIR Instructors do not just teach computer science; they change the trajectory of students who are one great class away from believing they belong in tech. As a CIR Instructor, you will step into a university classroom as a full, institution-backed instructor. You’ll bring your industry experience directly to students in their first computer science course, teaching live and in person, delivering CodePath's industry-aligned curriculum in Python, Java, or C++, with thoughtful integration of AI into how students learn and problem-solve. CodePath provides training, onboarding, and ongoing support. Your host university plugs you into faculty mentorship and a collaborative teaching environment. You will build trust on campus, unlock confidence in students, and help shape what CS education looks like at your institution. This is a full-immersion role. It starts with training in July 2026 and runs through the Fall semester on campus, ending in December 2026. It's best suited for engineers who are local to their assigned university or able to relocate, and who are ready to make the most meaningful semester of their career. Key Responsibilities - Training & Development: Attend summer onboarding sessions to build proficiency with CodePath’s teaching tools and instructional strategies before the semester begins - Course Instruction: Teach an introductory computer science course (20-120 students per section), supporting students in achieving learning objectives - Additional Instruction: Support additional CodePath courses and programs with partner universities as a Lead Instructor (as capacity allows) - Curriculum Adaptation & Lesson Preparation: Review the provided curriculum and adapt or modify materials as needed to align with the university’s course structure, learning objectives, and student needs, while preparing and delivering engaging, industry-relevant lessons - Teaching Assistant Leadership: Manage, mentor, and support Teaching Assistants (Tech Fellows) where applicable. These are advanced students who assist part-time (approx. 1:20 TF-to-student ratio at select sites) - Office Hours: Hold regular in-person office hours and actively encourage student participation - Partnership: Collaborate with internal stakeholders (e.g., CodePath Outreach and Program Managers) and external partners (e.g., faculty mentors and university administrators) to ensure alignment with program goals - Deliver Impact beyond the classroom: Integrate enrichment components like technical interview prep workshops and promote use of CodePath’s Career Center resources - Outreach: Partner with Campus Outreach teams to support and promote CodePath courses through on-campus engagement initiatives - Community-building: Foster a strong CIR community by participating in regular cohort calls, contributing to discussions, and sharing insights and resources - Feedback: Share timely feedback with the CIR program team about the experience at your specific university and the program overall - Deepen Institutional Knowledge Base: Capture and share knowledge (e.g., resource links, departmental context, tips) that will support future CIR Instructors at your institution Minimum Qualifications - 4+ years of professional experience in Software Engineering using Java, Python, or C++ - Ability to reside near campus and be on-site from August through December 2026 - Undergraduate degree in Computer Science or a related field - Strong interpersonal and influencing skills; comfortable navigating ambiguity - Demonstrated passion for teaching and prior experience leading classrooms - High levels of professionalism and responsiveness across multiple forms of communication with multiple stakeholders Preferred Qualifications - Required at select partner institutions: Master’s or PhD in Computer Science or a related field (see locations below) - UPRM only: Fluency or working proficiency in Spanish - Experience mentoring or managing junior developers - Prior experience teaching a technical course Partner Locations - Alabama A&M University - Huntsville, AL - Python - Clark Atlanta University - Atlanta, GA - Python - California State University, Dominguez Hills - Carson, CA (MS preferred) - Java - California State University, Fullerton (MS preferred) - Fullerton, CA - C++ - Fisk University - Nashville, TN (MS preferred) - Python - Florida A&M University - Tallahassee, FL (MS preferred) - C++ - Florida International University - Miami, FL - Python - Hampton University - Hampton, VA (MS required) - Java - Howard University - Washington, D.C. (MS preferred) - Python - Morehouse College - Atlanta, GA - C++ - Morgan State University - Baltimore, MD (MS preferred) - Python - New Mexico State University - Las Cruces, NM (MS preferred) - Java - North Carolina A&T State University - Greensboro, NC (MS required) - Python - Prairie View A&M University - Prairie View, TX (MS preferred) - Python - Tennessee State University - Nashville, TN (MS preferred) - Python - University of Puerto Rico, Mayaguez - Mayaguez, Puerto Rico - Python - University of Texas at El Paso - El Paso, TX - Python Seasonal/Part-Time Employee Benefits - Wellness: Employee Assistance Program - Additional Perks: Exclusive marketplace savings Pay range $72,000—$88,000 USD

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow. With 30,000 students and alumni from 700 colleges now working at 2,000 companies, we are reshaping the tech workforce and the industries of the future. About the Role Location: Remote, United States Role Type: Full-Time Reporting to: Lead Data Scientist Compensation: $90,000 to $130,000 per year CodePath is entering a pivotal stage of growth, building the data, analytics, and AI infrastructure that powers our learning platform and supports tens of thousands of students nationwide. We are looking for a highly capable and mission-driven Data Scientist to join our growing Measurement, Evaluation, and Learning (MEL) team and help shape this future. As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work. Key Activities - Impact Measurement: Define, track, and analyze organizational impact, student outcomes, and program performance with MEL leadership - Data Modeling & ML: Build and refine statistical and machine learning models for outcomes analyses, forecasting, and decision support - Exploratory Analysis: Conduct deep exploratory analyses to surface trends, anomalies, and insights across large datasets - Dashboards & BI Tools: Develop and maintain dashboards, reports, and visualizations (Tableau, streamlit, or similar) that translate complex results into clear, actionable insights - Feature Engineering & Data Preparation: Partner with data engineering to develop reliable datasets and features that power modeling and analytics workflows - Pipeline Support: Support and validate data pipelines to ensure analytical datasets remain accurate, consistent, and well-structured - Cross-Functional Work: Collaborate with program, product, and operations teams to understand their data needs and translate them into well-defined analytical questions - Documentation: Document analytical processes, models, and methodologies to ensure clarity, scaling, and reproducibility - Continuous Improvement: Identify opportunities to enhance data quality, improve modeling processes, and expand MEL’s modeling and reporting capabilities Key Success Metrics - High-quality Analytical Assets: Produces dashboards, Quarto reports, and reusable modules that meet MEL standards, with 90%+ requiring no major revision - Stronger Impact Measurement: Improves outcomes reporting and forecasting through validated datasets, models, and analyses - Improved Data Quality & Reliability: Identifies and resolves data issues across pipelines and transformations in partnership with Data Engineering - Meaningful Modeling Contributions: Builds statistical or ML models that improve decision-making through greater accuracy, clarity, or adoption Qualifications - 3+ years of professional experience in data science, machine learning, analytics, or a related field - Strong foundation in statistics, probability, and machine learning algorithms - Proficiency with Python (pandas/polars, numpy, scikit-learn, TensorFlow or PyTorch) - Strong SQL skills and experience working with large-scale datasets - Experience with cloud platforms (GCP, AWS, or Azure) and deploying or maintaining data-driven applications - Familiarity with data modeling concepts, data engineering workflows, and data pipelines - Strong communicator able to present complex analyses clearly and accessibly Preferred Qualifications - Experience with impact evaluation, education data, or social science research methods - Exposure to dbt, Airbyte, FiveTran, or similar tooling - Experience with experimental or quasi-experimental methods, causal inference, or A/B testing - Ability to turn ambiguous problems into structured analytical approaches - Proactive, collaborative mindset with enthusiasm for continuous learning Compensation CodePath has standardized salaries based on the position’s level, no matter where you live. For this role, we’re hiring for an Individual Contributor level position at an annual salary of $90,000 to $130,000. Salary is determined based on your relevant experience and skills as evaluated through our interview process. Comprehensive Benefits & Remote Work Perks This is a 100% remote position; you can work from anywhere in the U.S. CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance. - Health & Wellness:Medical, dental, and vision insurance (90% employer-covered), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program - Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection - Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 – Jan 2) - Professional Growth: $1,000 annual professional development stipend and home office setup support - Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF) - Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings